MSCI 404 Organizational Behaviour
Presents a systematic approach to the study of human behaviour in organizations. It synthesizes different concepts and findings from the behavioural sciences and shows their applications to business.
4 courses in the 1976–77 Undergraduate Calendar, read from the scanned original. The text comes from OCR, so check the scanned page before relying on a detail.
Professor, Chairman of the Department S. D. Saleh, B.A. (Cairo), M.A., Ph.D. (Case Western Reserve}
Professor, Associate Chairman E. A. Silver, B.Eng. (McGill), Sc.D. (M.LT.), P.Eng.
Professors
D. J. Clough, B.A.Sc. (Toronto), M.B.A. (Toronto), P.Eng.
D. W. Conrath, B.A. (Stanford), M.A. (U.C.-Berkeley), M.S. (Carnegie Tech), Ph.D. (U.C. Berkeley)
P.M. Reilly,! (Chemical Engineering), U.E., B.A.Sc. (Toronto), DU.C., Ph.D. (London), F.S.S., P.Eng.
S. S. Sengupta, M.A., D.Phil. (Calcutta)
Associate Professors
I. Bernhardt, B.A. (N.Y.U.), Ph.D. (U.C.-Berkeley)
F. E. Burke, B.A. (London), P.Eng.
M. J. Magazine, B.S. (CCNY), M.S.(N.Y.U.), M.Eng., Ph.D. (Florida)
K. J. Radford, M.A. (Cantab), FSS (UK)
Assistant Professors
J. Bradfield, B.A., M.A., Ph.D. (Rochester)
M. E. El-Gazzar, B.Sc., M.Sc. (Cairo), Ph.D. (Waterloo)
J. B. Moore, B.A.Sc. (Toronto), M.Math., Ph.D., (Waterloo), P.Eng.
R. G. Vickson, B.Sc. (UBC), Ph.D. (M.1.T.)
Adjunct Professors R. N. Howard, B.Sc., Ph.D. (London) M. Saltsman, M.P.
Research Associate B. G. Bloor, B.Math. (Hons.) (Waterloo)
Faculty member holding cross appointment as shown 1 Chemical Engineering and Management Sciences
Course Descriptions Management Sciences
Undergraduate Course Descriptions Management Sciences Option (2 hours lecture and one hour lab per week)
Presents a systematic approach to the study of human behaviour in organizations. It synthesizes different concepts and findings from the behavioural sciences and shows their applications to business.
Designed to give an appreciation of the usefulness of basic concepts from cconomics in managerial decision making. Topics include costs (as foregone opportunities and in accounting terms), production as a process in time relating costs to benefits.
Equipment replacement problems. Formulation and solution of linear programming models for managerial decision-making. Special linear models: transportation, assignment, and network models. Critical path method and PERT analysis. Introduction to dynamic programming. Some problems in inventory control.
Introduction to decision problems under risk. Utility and other criteria for risky decisions. Waiting-line systems. Markov processes and their application to industrial decision problems. Elements of simulation. Inventory contro] in an uncertain environment.
Prerequisite: MS 406
Production/Industrial Engineering Option 3 hours lectures and 1 hour lab per week
21 Applied Probability and Statistics
Axiomatic development of probability. Conditional probability, Bayes’ Theorem and independence. Discrete and continuous random variables. Special cases of uniform, binomial, Poisson, and normal. Mathematical expectation. Derived distributions. Sampling from normal populations. Estimating parameters and testing hypotheses.
23 Engineering and Managerial Economics
Economics of the firm with emphasis on managerial decisions. Price and output decisions. Choosing among alternative production processes and input combinations. Evaluating make-or-buy decisions, equipment service life, and new products. Analytical tools include marginal analysis, linear programming, and capital budgeting techniques.
31 Industrial Statistics and Design of Experiments Linear statistical models. General regression theory and applications. Design of orthogonal experiments and industrial applications. Correlation coefficient analysis. Elementary time series analysis. Finite population sampling and sample survey methods.
Prerequisite: MS 21 or equivalent
43 Economics of Enterprise and Benefit Cost Analysis Applications of models of household and enterprise behaviour. Seller strategy in consumer and industrial markets. Valuation of nonmarket goods. Examples include use of buyer behaviour data to determine market segments, and evaluation of a public investment.
Prerequisite: MS 23 or equivalent
44 Industrial Psychology
Considerations of perception, cognition, motivation, job attitudes. and job satisfaction. Discussion of the measurements of performance and procedures for selection to match worker and job. A review of psychological and physiological costs and benefits
of work.
46 Optimization Models for Policy Analysis
Basics of linear optimization. Perturbation analysis. Imputed costs and benefits. Special applications: transportation, goal programming, decentralization through transfer prices, multiple objectives. Integer linear programming, zero-one, and network flow problems. Linearization techniques. Projected gradient methods. Chance-constrained linear programming.
47 Stochastic Models of Industrial Operations Classification of stochastic processes. Recurrent events including birth and death processes, and branching processes. Waiting line models and applications. Markov processes and decision problems. Applications include inventory control, reliability, equipment replacement, maintenance, design of service facilities, etc. Prerequisites: MS 21 or equivalent, MS 46
51 Systems Simulation
Systems as multicomponent, bounded interacting objects. Conservative and non-conservative systems. Physical and mathematical analogues and models. Model formulation and computability. Event distribution models and Monte Carlo simulation, with industrial examples. Cybernetic (or dynamic) simulation, with industrial examples. Prerequisite: MS 46 or MS 406.
52 Management Information Systems
The information system as a component of the organization; relation to the management process and decision making; data and information in the organization; components of an information system; data bases; human considerations in implementation. Industrial examples. Prerequisite: MS 44 or MS 404.
Course Descriptions 303 Management Sciences
53 Decision Theory and Organization
Group interactions and the problems of industrial macro-organizations. Discussion of organizational decision-making and control process, with particular emphasis on the relevant theories of structural relations of organizations.
Prerequisite: MS 44 or MS 404